覃晖，男，工学博士，副教授，博士生导师，大连市高层次人才。本硕博均就读于同济大学，2017年获同济大学隧道及地下建筑工程博士学位，美国加州大学欧文分校（UCI）联合培养博士研究生，2017年加入大连理工大学桥梁与隧道工程研究所，国际勘探地球物理学会 、中国岩石力学与工程学会、中国图学学会会员。主要从事隧道及地下工程智能诊断、智慧运维相关研究。主持和参与科研课题30余项，发表学术论文40余篇、授权发明专利7项，担任《中外公路》青年编委，Materials、Buildings客座主编，JGR-Solid Earth(自然指数期刊)、AIC、TUST、GRSL、SCHM等多个期刊审稿人，获辽宁省科技进步二等奖、交通运输协会科技进步一等奖。

  研究方向

■ 隧道及地下工程智能诊断

■ 隧道及地下工程智慧运维

  招生信息

欢迎有土木、电信、计算机背景的硕士、博士研究生加入研究团队，开展土木工程智能化相关研究。

报考专业：081406-桥梁与隧道工程、085901-土木工程(桥梁与隧道工程)

欢迎博士毕业生加盟，开展“桥隧智能建造与智慧运维”方向博士后合作研究，待遇从优。

有意者请将简历及相关材料发送至邮箱：hqin@dlut.edu.cn

  工作经历

■ 2022.1 -- 今

大连理工大学 >> 土木工程学院 >> 副教授

■ 2017.6 -- 2021.12

大连理工大学 >> 土木工程学院 >> 讲师

  教育经历

■ 2012.9 -- 2017.3

同济大学 >> 隧道及地下建筑工程 >> 博士

■ 2014.9 -- 2016.9

加州大学欧文分校 >>土木工程 >> 联合培养博士研究生

■ 2008.9 -- 2011.7

同济大学 >> 隧道及地下建筑工程 >> 硕士

■ 2004.9 -- 2008.7

同济大学 >> 土木工程 >> 学士

  授课信息

■ 2020.9 -- 今

画法几何及工程制图(100035230870) >> 秋季学期 >> 68学时

  代表性成果

期刊论文

[35]   Yuanzheng Wang, Hui Qin*, Donghao Zhang, Tianyu Wu, Shengshan Pan. Domain Adaption YOLO Network to Enhance Target Detection in GPR Images. IEEE Transactions on Geoscience and Remote Sensing, 2024.  (https://doi.org/10.1109/TGRS.2024.3505946)

[34]    Jingru An, Zhengzheng Wang, Shengshan Pan, Hui Qin*, Qingfei Luo, Yi Jiang, Dong Yan. An Integrated Resilience and Assessment Methodology Framework for Addressing Uncertainty in Highway Operation and Maintenance Systems. Journal of Construction Engineering and Management (ASCE), 2024. 150(12): 0424174. (https://doi.org/10.1061/JCEMD4.COENG-15123)

[33]   潘盛山, 闫东, 覃晖*, 安镜如. 我国公路桥梁养护管理系统发展及展望. 世界桥梁, 2024, 52(02): 56-65.

[32]   余世为, 牛刚, 覃晖, 张东昊, 王峥峥. 隧道超前地质预报溶洞探地雷达数据时频分析. 工程勘察, 2023, 51(10): 67-72.

[31]   Donghao Zhang, Zhengzheng Wang, Hui Qin*, Tiesuo Geng, Shengshan Pan. GAN-Based Inversion of Crosshole GPR Data to Characterize Subsurface Structures. Remote Sensing, 2023, 15(14): 3650.  (https://doi.org/10.3390/rs15143650)

[30]    Junli Zhai, Qiang Wang, Xiongyao Xie*, Hui Qin, Tong Zhu, Yi Jiang, Hao Ding. A New Method for 3D Detection of Defects in Diaphragm Walls during Deep Excavations Using Cross-Hole Sonic Logging and Ground-Penetrating Radar. Journal of Performance of Constructed Facilities (ASCE), 2023. 37(1): 04022065. (https://doi.org/10.1061/(ASCE)CF.1943-5509.0001776)

[29]    Yuanzheng Wang, Hui Qin*, Feng Miao. A Multi-Path Encoder Network for GPR Data Inversion to Improve Defect Detection in Reinforced Concrete. Remote Sensing, 2022, 14(22): 5871.  (https://doi.org/10.3390/rs14225871)

[28]    Yuanzheng Wang, Hui Qin, Yu Tang*, Donghao Zhang, Donghui Yang, Chunxu Qu, Tiesuo Geng. RCE-GAN: A Rebar Clutter Elimination Network to Improve Tunnel Lining Void Detection from GPR Images. Remote Sensing, 2022, 14(2): 251.  (https://doi.org/10.3390/rs14020251)

[27]    覃晖, 王峥峥, 耿铁锁, 唐玉*, 谢雄耀. 地下连续墙接头病害的跨孔雷达检测方法. 地下空间与工程学报, 2021, 17(6): 1935-1943. 

[26]    覃晖, 耿铁锁*, 谭岩斌, 王骞. 基于跨孔雷达的地下结构无损检测实验系统设计. 实验技术与管理, 2021, 38(12): 33-37. 

[25]    Liuqun Zhao, Li Zheng, Hui Qin, Tiesuo Geng*, Yonggang Tan, Zhe Zhang. Research on Failure Characteristics of Concrete Three-Point Bending Beams with Preexisting Cracks in Different Positions Based on Numerical Simulation. Geofluids, 2021, 7892312. (https://doi.org/10.1155/2021/7892312)

[24]    覃晖, 耿铁锁*, 谭岩斌, 王骞, 邱文亮, 冯琪. 悬索桥健康监测实验教学平台开发与应用. 实验室研究与探索, 2021, 40(8): 173-176+180. 

[23]    Hui Qin, Donghao Zhang, Yu Tang*, Yuanzheng Wang. Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation. Automation in Construction, 2021, 130: 103830.  (https://doi.org/10.1016/j.autcon.2021.103830)

[22]    Hui Qin, Yu Tang, Zhengzheng Wang*, Xiongyao Xie, Donghao Zhang. Shield tunnel grouting layer estimation using sliding window probabilistic inversion of GPR data. Tunnelling and Underground Space Technology, 2021, 112: 103913.  (https://doi.org/10.1016/j.tust.2021.103913)

[21]    Hui Qin, Zhengzheng Wang, Yu Tang*, Tiesuo Geng. Analysis of Forward Model, Data Type, and Prior Information in Probabilistic Inversion of Crosshole GPR Data. Remote Sensing, 2021, 13(2): 215. (https://doi.org/10.3390/rs13020215)

[20]    Yu Tang, Dawei Ren, Hui Qin*, Chao Luo. New Family of Explicit Structure-Dependent Integration Algorithms with Controllable Numerical Dispersion. Journal of Engineering Mechanics, 2021, 147(3): 04021001.  (https://doi.org/10.1061/(ASCE)EM.1943-7889.0001901)

[19]    Hui Qin*, Xiongyao Xie, Yu Tang, Zhengzheng Wang. Experimental Study on GPR Detection of Voids inside and behind Tunnel Linings. Journal of Environmental and Engineering Geophysics, 2020, 25(1): 65-74. (https://doi.org/10.2113/JEEG18-085)

[18]    Yu Tang, Hui Qin*. Stability and Accuracy Analysis of Real-Time Hybrid Simulation (RTHS) with Incomplete Boundary Conditions and Actuator Delay. International Journal of Structural Stability and Dynamics, 2020, 20(11): 2050122. (https://doi.org/10.1142/S0219455420501217)

[17]    Yu Tang, Hui Qin*. Applications of the RST Algorithm to Nonlinear Systems in Real-Time Hybrid Simulation. Mathematical Problems in Engineering, 2020, 2020: 5734720. (https://doi.org/10.1155/2020/5734720)

[16]    Yu Tang, Hui Qin*. Reduction of Coupling Interface Degrees of Freedom in Mixed-Interface Component Mode Synthesis. Applied Sciences, 2020, 10(8): 2759. (https://doi.org/10.3390/app10082759)

[15]    张东昊, 覃晖*. 基于探地雷达和深度学习的隧道初期支护检测方法. 现代隧道技术, 2020, 57: 174-178. 

[14]    唐玉, 覃晖*. 实时子结构试验中显式算法对比分析. 工程力学, 2020, 37: 1-5+12. 

[13]    覃晖, 唐玉*, 谢雄耀, 王峥峥. 基于支持向量机的隧道衬砌空洞机器识别方法. 现代隧道技术, 2020, 57: 13-19. 

[12]    耿铁锁, 谭岩斌*, 檀永刚, 邱文亮, 覃晖, 张哲. 桥梁与隧道技术国家地方联合工程实验室建设. 实验技术与管理, 2020, 37: 22-25. 

[11]    Hui Qin, Xiongyao Xie, Yu Tang*. Evaluation of a Straight-Ray Forward Model for Bayesian Inversion of Crosshole Ground Penetrating Radar Data. Electronics, 2019, 8(6): 630. (https://doi.org/10.3390/electronics8060630)

[10]    Xin Huang, Qinghua Lei, Zixin Zhang, Hui Qin*. A tensor-based analysis of stress variability in granular media subjected to various loading conditions. Powder Technology. 2019,356:581-593. (https://doi.org/10.1016/j.powtec.2019.08.107)

[9]    Hui Qin*, Jasper A. Vrugt, Xiongyao Xie, Yunxiang Zhou. Improved characterization of underground structure defects from two-stage Bayesian inversion using crosshole GPR data. Automation in Construction, 2018, 95: 233-244. (https://doi.org/10.1016/j.autcon.2018.08.014)

[8]    覃晖, 唐玉, 王峥峥, 王新山, 谭岩斌. 综合探测技术在隧道超前地质预报中的应用. 现代隧道技术, 2018, 55: 681-686. 

[7]    Hui Qin, Xiongyao Xie, Jasper A. Vrugt*, Kun Zeng, Gai Hong. Underground structure defect detection and reconstruction using crosshole GPR and Bayesian waveform inversion. Automation in Construction, 2016, 68: 156-169. (https://doi.org/j.autcon.2016.03.011)

[6]    Hui Qin, Xiongyao Xie*. Design and test of an improved dipole antenna for detecting enclosure structure defects by cross-hole GPR. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(1): 108-114. (https://doi.org/10.1109/JSTARS.2015.2466450)

[5]    谢雄耀, 王培, 李永盛, 牛建宏, 覃晖. 甬江沉管隧道长期沉降监测数据及有限元分析. 岩土力学, 2014, 35(8): 2314-2324. 

[4]    Xiongyao Xie, Hui Qin, Chao Yu, Lanbo Liu. An automatic recognition algorithm for GPR images of RC structure voids. Journal of Applied Geophysics, 2013, 99(SI): 125-134. (https://doi.org/10.1016/j.jappgeo.2013.02.016)

[3]    Xiongyao Xie, Pan Li, Hui Qin, Lanbo Liu, David C. Nobes. GPR identification of voids inside concrete based on the support vector machine algorithm. Journal of Geophysics and Engineering, 2013, 10(3): 034002. (https://doi.org/10.1088/1742-2132/10/3/034002)

[2]    谢雄耀, 于超, 赵永辉, 覃晖. 山岭隧道空洞病害雷达探测图像影响因素的正演模拟研究. 工程地质学报, 2010, 18(S): 81-87.

[1]    谢雄耀, 覃晖. 探地雷达探测隧道衬砌钢筋的神经网络识别方法. 工程地质学报, 2010, 18(S): 229-233+237.

会议论文

[14]   Yuanzheng Wang, Hui Qin, et al. Enhancing GPR-based tunnel lining delamination detection: An unsupervised domain-adaptive YOLO network.  Journal of Physics: Conference Series, 2024, 2887(1): 012004.

[13]    Yuanzheng Wang, Hui Qin. Enhancing GPR-based tunnel lining delamination detection: An unsupervised domain-adaptive YOLO network. 20th International Conference on Ground Penetrating Radar, Changchun, China, 2024.

[12]   覃晖, 曲立杨, 翁李斌, 王峥峥, 潘盛山. 基于Revit二次开发的公路隧道养护信息可视化研究. 第九届全国BIM学术会议, 2023, 59-64.

[11]   Donghao Zhang, Yu Tang, Hui Qin, Yuanzheng Wang, Yao Yao, Lin Zhang. Generative Adversarial Network Based Inversion of Cross-hole Radar Data. IOP Conference Series: Earth and Environmental Science, 2023, 2651(1): 012125.

[10]   Yuanzheng Wang, Hui Qin, Yu Tang, Donghao Zhang, Lin Zhang, Yao Yao. Deep Learning Inversion of Multi-processed GPR Data to Characterize Subsurface Defects. IOP Conference Series: Earth and Environmental Science, 2023, 2651(1): 012049.

[9]    Yuanzheng Wang, Hui Qin, Yu Tang, Donghao Zhang, Zhengzheng Wang, Shengshan Pan. A deep learning network to improve tunnel lining defect identification using ground penetrating radar. IOP Conference Series: Earth and Environmental Science, 2021, 861(4): 042057. 

[8]    Donghao Zhang, Hui Qin, Zhengzheng Wang, Junwei Huang. Quality assurance of tunnel lining construction using ground-penetrating radar and convolution neural networks. 18th International Conference on Ground Penetrating Radar, Golden, Colorado, USA, 2020: 216-219. 

[7]    Hui Qin, Yu Tang, Zhengzheng Wang, Xiongyao Xie, Donghao Zhang. MCMC approach for shield tunnel grouting layer estimation using ground penetrating radar. China Rock 2020, Beijing, China, 2020: 052043.

[6]    Hui Qin, Yu Tang. Bayesian inversion of crosshole GPR data to characterize subsurface void. SEG 2020 Workshop: Underground Water and Karst Imaging, Virtual, 2020: 30-33.

[5]    Hui Qin, Xiongyao Xie, Yu Tang, Zhengzheng Wang. Detection of Diaphragm Wall Defects Using Crosshole GPR. 17th International Conference on Ground Penetrating Radar, Rapperswil, Switzerland, 2018: 1-4.

[4]    Xiongyao Xie, Hui Qin, Gai Hong, Yifan Chen, Kun Zeng. Crosshole radar for underground structure defect detection: system design and model experiment. 16th International Conference on Ground Penetrating Radar, Hong Kong, China, 2016: 1-5.

[3]    Xiongyao Xie, Rongjie Yao, Hui Qin, Hai Liu. Study on radargram characteristics of the backfill grouting quality evaluation of a shield tunnel using GPR. 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, 2014: 407-412.

[2]    Xiongyao Xie, Hui Qin, Rongjie Yao. Highway shield tunnel inspection using integrated GPR equipment. 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, 2014: 413-417.

[1]    Xiongyao Xie, Hui Qin, Rongjie Yao. Design of an improved dipole antenna for detecting enclosure structure defects by crosshole GPR. 15th International Conference on Ground Penetrating Radar, Brussels, Belgium, 2014: 723-727.

授权专利

[7]    覃晖; 李春晓; 潘盛山; 王立朋; 孙大鹏; 任鸿勇; 唐玉一种基于深度学习和光学照片的桥墩点云自动着色方法及系统, 2024-09-20, 中国, ZL202410680188.2

[6]    覃晖; 张东昊; 唐玉; 耿铁锁; 王峥峥; 潘盛山; 石磊; 谭岩斌, 一种基于跨孔雷达和深度学习的地下结构内部缺陷识别方法, 2024-04-26, 中国, ZL202111115157.5

[5]    覃晖; 张东昊; 唐玉; 王峥峥; 耿铁锁, 基于跨孔雷达成像的地下连续墙模型试验系统, 2023-09-22, 中国, ZL202110261368.3

[4]    王峥峥; 周世轩; 王建新; 贾佳欣; 吕理军; 彭琦; 覃晖; 万慎刚; 张玉堂, 一种城市地下工程穿越既有桥梁的变形控制方法, 2020-11-06, 中国, ZL201910424888.4

[3]    王峥峥; 覃晖; 周世轩; 王建新; 张玉堂; 贾佳欣; 彭琦; 万慎刚; 吕理军, 一种用于地下工程下穿既有桥梁变形控制的可回收式装置, 2020-09-29, 中国, ZL201910426471.1

[2]    唐玉; 覃晖, 基于分布式超声波传感器的钻孔桩质量检测方法, 2020-08-14, 中国, ZL201810984009.9

[1]    覃晖; 唐玉; 王峥峥; 耿铁锁, 基于分区超声波层析成像的地下连续墙缺陷检测方法, 2019-11-19, 中国, ZL201810255352.X

  学术报告

1. 覃晖, 隧道工程探地雷达数据智能解译, 2024 中国隧道与地下工程大会（CTUC2024）, 中国, 珠海, 2024-10-18至2024-10-21
   

2. 覃晖, 探地雷达数据全过程智能解译, 第二届基础设施智能无损检测研讨会, 中国, 广州, 2024-8-5至2024-8-6

3. 覃晖, 隧道与地下工程无损检测中的智能识别方法, 中国交通运输协会科学技术奖表彰大会暨综合交通运输科技创新大会, 中国, 青岛, 2021-5-27至2021-5-29

4. 覃晖, 探地雷达图像智能识别, CSIG图像图形中国行, 中国, 大连, 2021-3-27

5. 覃晖, 基于探地雷达和深度学习的隧道衬砌检测方法, 2020中国隧道与地下工程大会（CTUC）暨中国土木工程学会隧道及地下工程分会第二十一届年会, 中国, 深圳, 2020-11-26至2020-11-29

6. Hui Qin, Markov Chain Monte Carlo Inversion of Crosshole GPR Data to Characterize Subsurface Structure, PhotonIcs & Electromagnetics Research Symposium (PIERS 2019), Xiamen, China, 2019-12-17至2019-12-20

7. 覃晖, 跨孔电磁波检测地下连续墙病害的数值仿真研究, 第一届土木工程计算与仿真技术学术会议，中国, 武汉，2019-5-24至2019-5-2